Individual and team profiling to support theory of mind in artificial social intelligence.

ABSTRACT: We describe an approach aimed at helping artificial intelligence develop theory of mind of their human teammates to support team interactions. We show how this can be supported through the provision of quantifiable, machine-readable, a priori information about the human team members to an agent. We first show how our profiling approach can capture individual team member characteristic profiles that can be constructed from sparse data and provided to agents to support the development of artificial theory of mind. We then show how it captures features of team composition that may influence team performance. We document this through an experiment examining factors influencing the performance of ad-hoc teams executing a complex team coordination task when paired with an artificial social intel

SUBMITTER: Bendell R 

PROVIDER: S-EPMC11144695 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature